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基于聚类分析的多尺度相似地震快速识别方法及其在汶川地震东北端余震序列分析中的应用
引用本文:王伟涛,王宝善.基于聚类分析的多尺度相似地震快速识别方法及其在汶川地震东北端余震序列分析中的应用[J].地球物理学报,2012,55(6):1952-1962.
作者姓名:王伟涛  王宝善
作者单位:中国地震局地球物理研究所(地震观测与地球物理成像重点实验室), 北京 100081
基金项目:地震行业科研专项,国家自然科学基金,中国地震局地球物理研究所基本科研专项
摘    要:相似地震是具有相似波形记录的一组地震,往往以地震丛集的方式发生.而重复地震是一种特殊的相似地震,一般具有相近的震源机制解和几乎重合的破裂面积.对相似地震特别是重复地震的研究是我们认识断层的结构和变化的重要手段.本文提出了一种基于相似度距离概念和聚类分析技术的相似地震识别方法,可以利用单个台站对其记录到的地震事件进行快速的相似地震和重复地震识别.我们将此方法应用于汶川地震东北端的余震序列,获得了该地区相似地震的分布图像,并对其中存在的重复地震的发震机制进行了讨论分析.

关 键 词:波形相似性  余震序列  重复地震  聚类分析  
收稿时间:2011-05-12

Quick identification of multilevel similar earthquakes using hierarchical clustering method and its application to Wenchuan northeast aftershock sequence
WANG Wei-Tao , WANG Bao-Shan.Quick identification of multilevel similar earthquakes using hierarchical clustering method and its application to Wenchuan northeast aftershock sequence[J].Chinese Journal of Geophysics,2012,55(6):1952-1962.
Authors:WANG Wei-Tao  WANG Bao-Shan
Institution:Key Laboratory of Seismic Observation and Geophysical Imaging, Institute of Geophysics, China Earthquake Administration, Beijing 100081, China
Abstract:Similar earthquakes are a group of earthquakes which have highly similar waveform at one or more seismic stations,they always occur as clusters in a limited space.Repeating earthquakes,as distinguished similar earthquakes,have nearly identical focal mechanism and overlapped rupture area.They provide an important means for studying the structure and property variation of fault systems.Here we present a method,which is based on similarity distance matrix and hierarchical clustering algorithm,to perform multilevel quick identification of similar earthquakes by one single station.We apply this method to Wenchuan northeast aftershock sequence and obtain the spatial and time distribution of different level similar earthquakes.The ability for detecting repeating earthquakes as well as the possible mechanism of burst-type repeating earthquakes in this region are discussed in the end.
Keywords:Waveform similarity  Aftershock sequence  Repeating earthquake  Hierarchical clustering
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